Manuscript received January 20, 2023; revised February 25, 2023; accepted March 3, 2023.
Abstract—The COVID-19 pandemic widely affected many
sectors including education. Suranaree University of
Technology, as the first autonomous university of technology in
Thailand, had improved online education and applied the
university e-learning systems to cope with the pandemic
situation. Thus, this research aimed to 1) study the levels of the
related factors and the success of the e-learning systems in
disruptive online education, 2) study the correlation between
the related factors and the success of the e-learning systems in
disruptive online education, and 3) study the factors predicting
the success of the e-learning systems in disruptive online
education. The samples were 405 students, instructors, and staff.
Data were collected by using a questionnaire. The results
showed that Organizational Factor, Instructor Factor, User
Support Factor, Student Factor, and Teaching and Learning
Management Factor were at a high level, whereas the System
Performance Factor, and Technology and Infrastructure
Factor were at a moderate level. Moreover, all factors were
significantly correlated to success at a high level (r = 0.77, p <
0.01). Finally, in predicting the success of the e-learning system,
five factors namely, Instructor Factor, User Support Factor,
System Performance Factor, Organizational Factor, and
Student Factor were able to predict success for 60%, and the
Instructor Factor only was able to predict success for 49%.
Index Terms—E-learning, online education, success factors,
COVID-19 pandemic
Sutthinee Srisawat, Amornthep Thepvichit, Akkhadesh Sosongchan, and
Apisara Aorsuwan are with the Center for Educational Innovation and
Technology, Suranaree University of Technology, Nakhon Ratchasima,
Thailand.
Sorachai Kamollimsakul and Thawatphong Phithak are with the Institute
of Digital Arts and Science, and Social Innovation Research Center,
Suranaree University of Technology, Nakhon Ratchasima, Thailand.
Saranya Chularee and Jintana Tapin are with the Institute of Nursing,
Suranaree University of Technology, Nakhon Ratchasima, Thailand.
*Correspondence: sorachai@g.sut.ac.th (S.K.)
Cite: Sutthinee Srisawat, Sorachai Kamollimsakul*, Thawatphong Phithak, Saranya Chularee, Jintana Tapin, Amornthep Thepvichit, Akkhadesh Sosongchan, and Apisara Aorsuwan, "Factors for Predicting Success in e-Learning System Management during the COVID-19 Pandemic: The Case Study of Suranaree University of Technology," International Journal of Information and Education Technology vol. 13, no. 9, pp. 1462-1468, 2023.
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).